Robust control for a class of continuous dynamical system governed by semi-explicit DAE with data-sample outputs

Author(s):  
R. Juarez ◽  
V. Azhmyakov ◽  
S. K. Gadi ◽  
F. G. Salas
2019 ◽  
Vol 24 ◽  
pp. 01014 ◽  
Author(s):  
Alexander G. Tatashev ◽  
Marina V. Yashina

A deterministic continuous dynamical system is considered. This system contains two contours. The length of theith contour equalsci,i= 1, 2. There is a moving segment (cluster) on each contour. The length of the cluster, located on theith contour, equalsli,i= 1, 2. If a cluster moves without delays, then the velocity of the cluster is equal to 1. There is a common point (node) of the contours. Clusters cannot cross the node simultaneously, and therefore delays of clusters occur. A set of repeating system states is called a spectral cycle. Spectral cycles and values of average velocities of clusters have been found. The system belongs to a class of contour systems. This class of dynamical systems has been introduced and studied by A.P. Buslaev.


2007 ◽  
Vol 28 (2) ◽  
pp. 157-162 ◽  
Author(s):  
Gang Zhang ◽  
Zeng-rong Liu ◽  
Zhong-jun Ma

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaorui Xie ◽  
Ye-Hwa Chen

The stabilization problem of a macroeconomic dynamical system is considered in this paper. The main features of this system are that the system uncertainties may be unknown functions of state and time but with known bounds. Furthermore, the control inputs are subject to constraints, which is a salient feature in an economic control problem. To ensure that the controls are within the specified boundaries, in our control design procedure, a creative diffeomorphism, which converts bounded controls into unbounded corresponding signals by choosing an appropriate transformation function, is proposed. For the uncertain system, a deterministic robust control is designed to render the practical stability: uniform boundedness and uniform ultimate boundedness. The range of the input bounds is related to the uncertainties and can be designed according to the actual situation. Numerical simulations are performed to verify the effectiveness of the stabilization policy.


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